
Asian Financial Society Company Cyber Security Posture
afstoday.orgThe Asian Financial Society (AFS) was founded in New York City in 1984 by a group of pioneering Asian Wall Street bankers that envisioned Asiaโs rising economy and its impact on the modern finance world. AFS aims to help its members accomplish their lifelong goals through career enhancement, business development and young professional support. In 30 years, AFS has accumulated more than 4,000 members from major Wall Street institutions covering all major finance sectors, while reaching another 11,000 friends and affiliates across the US and Asia.
AFS Company Details
asianfinancialsociety
7 employees
757.0
52
Financial Services
afstoday.org
Scan still pending
ASI_1993505
In-progress

Between 900 and 1000
This score is AI-generated and less favored by cyber insurers, who prefer the TPRM score.

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Asian Financial Society Company Scoring based on AI Models
Model Name | Date | Description | Current Score Difference | Score |
---|---|---|---|---|
AVERAGE-Industry | 03-12-2025 | This score represents the average cybersecurity rating of companies already scanned within the same industry. It provides a benchmark to compare an individual company's security posture against its industry peers. | N/A | Between 900 and 1000 |
Asian Financial Society Company Cyber Security News & History
Entity | Type | Severity | Impact | Seen | Url ID | Details | View |
---|---|---|---|---|---|---|---|
Asian financial institution | Ransomware | 100 | 5 | 6/2025 | ASI307061225 | Link | |
Rankiteo Explanation : Attack threatening the organization's existenceDescription: The Fog ransomware operation compromised an Asian financial institution, leveraging VPN credentials to gain access. Post-compromise, the attackers used 'pass-the-hash' techniques to gain admin privileges, disabled Windows Defender, and encrypted all files, including virtual machine storage. Additional tools like Syteca, Stowaway, SMBExec, GC2, Adapt2x C2, Process Watchdog, PsExec, Impacket SMB, 7-Zip, MegaSync, and FreeFileSync were utilized for data exfiltration and lateral movement. The use of these uncommon tools helped the attackers evade detection. |
Asian Financial Society Company Subsidiaries

The Asian Financial Society (AFS) was founded in New York City in 1984 by a group of pioneering Asian Wall Street bankers that envisioned Asiaโs rising economy and its impact on the modern finance world. AFS aims to help its members accomplish their lifelong goals through career enhancement, business development and young professional support. In 30 years, AFS has accumulated more than 4,000 members from major Wall Street institutions covering all major finance sectors, while reaching another 11,000 friends and affiliates across the US and Asia.
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AFS Cyber Security News
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Chinese cyber association calls for review of Intel products sold in China
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The Global Impact of a US TikTok Ban
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China Cybersecurity Body Says US Hack Stole Tech Secrets โ SCMP
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Chinese Hackers Target Linux Systems Using SNOWLIGHT Malware and VShell Tool
The disclosure comes as TeamT5 revealed that a China-nexus hacking group likely exploited security flaws in Ivanti appliances (CVE-2025-0282 andย ...
Central Asia needs regional and international cooperation to bolster water security
The political landscape in Central Asia complicates efforts to manage water resources. The region features a range of political systems, fromย ...
On U.S.-ASEAN Relations & Trade
Shay Wester and Kaewkamol Pitakdumrongkit discuss what's at stake for Asia in the 2024 U.S. election on U.S.-ASEAN relations and trade.
Concern Grows Around Firing of Ethnic Chinese Scientist in US
Concern is growing in a US university about the firing of a top Chinese-born scientist following raids on his two homes last week.
What is Volt Typhoon? A cybersecurity expert explains the Chinese hackers targeting US critical infrastructure
Written by Richard Forno, principal lecturer in computer science and electrical engineering, UMBC. Volt Typhoon is a Chinese state-sponsoredย ...

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Frequently Asked Questions (FAQ) on Cybersecurity Incidents
AFS CyberSecurity History Information
Total Incidents: According to Rankiteo, AFS has faced 1 incidents in the past.
Incident Types: The types of cybersecurity incidents that have occurred include ['Ransomware'].
Total Financial Loss: The total financial loss from these incidents is estimated to be {total_financial_loss}.
Cybersecurity Posture: The company's overall cybersecurity posture is described as The Asian Financial Society (AFS) was founded in New York City in 1984 by a group of pioneering Asian Wall Street bankers that envisioned Asiaโs rising economy and its impact on the modern finance world. AFS aims to help its members accomplish their lifelong goals through career enhancement, business development and young professional support. In 30 years, AFS has accumulated more than 4,000 members from major Wall Street institutions covering all major finance sectors, while reaching another 11,000 friends and affiliates across the US and Asia..
Detection and Response: The company detects and responds to cybersecurity incidents through {description_of_detection_and_response_process}.
Incident Details

Incident 1: Ransomware Attack
Title: {Incident_Title}
Description: {Brief_description_of_the_incident}
Date Detected: {Detection_Date}
Date Publicly Disclosed: {Disclosure_Date}
Date Resolved: {Resolution_Date}
Type: {Type_of_Attack}
Attack Vector: {Attack_Vector}
Vulnerability Exploited: {Vulnerability}
Threat Actor: {Threat_Actor}
Motivation: {Motivation}

Incident 2: Data Breach
Title: {Incident_Title}
Description: {Brief_description_of_the_incident}
Date Detected: {Detection_Date}
Date Publicly Disclosed: {Disclosure_Date}
Date Resolved: {Resolution_Date}
Type: {Type_of_Attack}
Attack Vector: {Attack_Vector}
Vulnerability Exploited: {Vulnerability}
Threat Actor: {Threat_Actor}
Motivation: {Motivation}
Common Attack Types: As of now, the company has not encountered any reported incidents involving common cyberattacks.
Identification of Attack Vectors: The company identifies the attack vectors used in incidents through {description_of_identification_process}.
Impact of the Incidents

Incident 1: Ransomware Attack
Financial Loss: {Financial_Loss}
Data Compromised: {Data_Compromised}
Systems Affected: {Systems_Affected}
Downtime: {Downtime}
Operational Impact: {Operational_Impact}
Conversion Rate Impact: {Conversion_Rate_Impact}
Revenue Loss: {Revenue_Loss}
Customer Complaints: {Customer_Complaints}
Brand Reputation Impact: {Brand_Reputation_Impact}
Legal Liabilities: {Legal_Liabilities}
Identity Theft Risk: {Identity_Theft_Risk}
Payment Information Risk: {Payment_Information_Risk}

Incident 2: Data Breach
Financial Loss: {Financial_Loss}
Data Compromised: {Data_Compromised}
Systems Affected: {Systems_Affected}
Downtime: {Downtime}
Operational Impact: {Operational_Impact}
Conversion Rate Impact: {Conversion_Rate_Impact}
Revenue Loss: {Revenue_Loss}
Customer Complaints: {Customer_Complaints}
Brand Reputation Impact: {Brand_Reputation_Impact}
Legal Liabilities: {Legal_Liabilities}
Identity Theft Risk: {Identity_Theft_Risk}
Payment Information Risk: {Payment_Information_Risk}
Average Financial Loss: The average financial loss per incident is {average_financial_loss}.
Commonly Compromised Data Types: The types of data most commonly compromised in incidents are {list_of_commonly_compromised_data_types}.

Incident 1: Ransomware Attack
Entity Name: {Entity_Name}
Entity Type: {Entity_Type}
Industry: {Industry}
Location: {Location}
Size: {Size}
Customers Affected: {Customers_Affected}

Incident 2: Data Breach
Entity Name: {Entity_Name}
Entity Type: {Entity_Type}
Industry: {Industry}
Location: {Location}
Size: {Size}
Customers Affected: {Customers_Affected}
Response to the Incidents

Incident 1: Ransomware Attack
Incident Response Plan Activated: {Yes/No}
Third Party Assistance: {Yes/No}
Law Enforcement Notified: {Yes/No}
Containment Measures: {Containment_Measures}
Remediation Measures: {Remediation_Measures}
Recovery Measures: {Recovery_Measures}
Communication Strategy: {Communication_Strategy}
Adaptive Behavioral WAF: {Adaptive_Behavioral_WAF}
On-Demand Scrubbing Services: {On_Demand_Scrubbing_Services}
Network Segmentation: {Network_Segmentation}
Enhanced Monitoring: {Enhanced_Monitoring}

Incident 2: Data Breach
Incident Response Plan Activated: {Yes/No}
Third Party Assistance: {Yes/No}
Law Enforcement Notified: {Yes/No}
Containment Measures: {Containment_Measures}
Remediation Measures: {Remediation_Measures}
Recovery Measures: {Recovery_Measures}
Communication Strategy: {Communication_Strategy}
Adaptive Behavioral WAF: {Adaptive_Behavioral_WAF}
On-Demand Scrubbing Services: {On_Demand_Scrubbing_Services}
Network Segmentation: {Network_Segmentation}
Enhanced Monitoring: {Enhanced_Monitoring}
Incident Response Plan: The company's incident response plan is described as {description_of_incident_response_plan}.
Third-Party Assistance: The company involves third-party assistance in incident response through {description_of_third_party_involvement}.
Data Breach Information

Incident 2: Data Breach
Type of Data Compromised: {Type_of_Data}
Number of Records Exposed: {Number_of_Records}
Sensitivity of Data: {Sensitivity_of_Data}
Data Exfiltration: {Yes/No}
Data Encryption: {Yes/No}
File Types Exposed: {File_Types}
Personally Identifiable Information: {Yes/No}
Prevention of Data Exfiltration: The company takes the following measures to prevent data exfiltration: {description_of_prevention_measures}.
Handling of PII Incidents: The company handles incidents involving personally identifiable information (PII) through {description_of_handling_process}.
Ransomware Information

Incident 1: Ransomware Attack
Ransom Demanded: {Ransom_Amount}
Ransom Paid: {Ransom_Paid}
Ransomware Strain: {Ransomware_Strain}
Data Encryption: {Yes/No}
Data Exfiltration: {Yes/No}
Ransom Payment Policy: The company's policy on paying ransoms in ransomware incidents is described as {description_of_ransom_payment_policy}.
Data Recovery from Ransomware: The company recovers data encrypted by ransomware through {description_of_data_recovery_process}.
Regulatory Compliance

Incident 1: Ransomware Attack
Regulations Violated: {Regulations_Violated}
Fines Imposed: {Fines_Imposed}
Legal Actions: {Legal_Actions}
Regulatory Notifications: {Regulatory_Notifications}

Incident 2: Data Breach
Regulations Violated: {Regulations_Violated}
Fines Imposed: {Fines_Imposed}
Legal Actions: {Legal_Actions}
Regulatory Notifications: {Regulatory_Notifications}
Regulatory Frameworks: The company complies with the following regulatory frameworks regarding cybersecurity: {list_of_regulatory_frameworks}.
Ensuring Regulatory Compliance: The company ensures compliance with regulatory requirements through {description_of_compliance_measures}.
Lessons Learned and Recommendations

Incident 1: Ransomware Attack
Lessons Learned: {Lessons_Learned}

Incident 2: Data Breach
Lessons Learned: {Lessons_Learned}

Incident 1: Ransomware Attack
Recommendations: {Recommendations}

Incident 2: Data Breach
Recommendations: {Recommendations}
Key Lessons Learned: The key lessons learned from past incidents are {list_of_key_lessons_learned}.
Implemented Recommendations: The company has implemented the following recommendations to improve cybersecurity: {list_of_implemented_recommendations}.
References
Additional Resources: Stakeholders can find additional resources on cybersecurity best practices at {list_of_additional_resources}.
Investigation Status

Incident 1: Ransomware Attack
Investigation Status: {Investigation_Status}

Incident 2: Data Breach
Investigation Status: {Investigation_Status}
Communication of Investigation Status: The company communicates the status of incident investigations to stakeholders through {description_of_communication_process}.
Stakeholder and Customer Advisories

Incident 1: Ransomware Attack
Stakeholder Advisories: {Stakeholder_Advisories}
Customer Advisories: {Customer_Advisories}

Incident 2: Data Breach
Stakeholder Advisories: {Stakeholder_Advisories}
Customer Advisories: {Customer_Advisories}
Advisories Provided: The company provides the following advisories to stakeholders and customers following an incident: {description_of_advisories_provided}.
Initial Access Broker

Incident 1: Ransomware Attack
Entry Point: {Entry_Point}
Reconnaissance Period: {Reconnaissance_Period}
Backdoors Established: {Backdoors_Established}
High Value Targets: {High_Value_Targets}
Data Sold on Dark Web: {Yes/No}

Incident 2: Data Breach
Entry Point: {Entry_Point}
Reconnaissance Period: {Reconnaissance_Period}
Backdoors Established: {Backdoors_Established}
High Value Targets: {High_Value_Targets}
Data Sold on Dark Web: {Yes/No}
Monitoring and Mitigation of Initial Access Brokers: The company monitors and mitigates the activities of initial access brokers through {description_of_monitoring_and_mitigation_measures}.
Post-Incident Analysis

Incident 1: Ransomware Attack
Root Causes: {Root_Causes}
Corrective Actions: {Corrective_Actions}

Incident 2: Data Breach
Root Causes: {Root_Causes}
Corrective Actions: {Corrective_Actions}
Post-Incident Analysis Process: The company's process for conducting post-incident analysis is described as {description_of_post_incident_analysis_process}.
Corrective Actions Taken: The company has taken the following corrective actions based on post-incident analysis: {list_of_corrective_actions_taken}.
Additional Questions
General Information
Ransom Payment History: The company has {paid/not_paid} ransoms in the past.
Last Ransom Demanded: The amount of the last ransom demanded was {last_ransom_amount}.
Last Attacking Group: The attacking group in the last incident was {last_attacking_group}.
Incident Details
Most Recent Incident Detected: The most recent incident detected was on {most_recent_incident_detected_date}.
Most Recent Incident Publicly Disclosed: The most recent incident publicly disclosed was on {most_recent_incident_publicly_disclosed_date}.
Most Recent Incident Resolved: The most recent incident resolved was on {most_recent_incident_resolved_date}.
Impact of the Incidents
Highest Financial Loss: The highest financial loss from an incident was {highest_financial_loss}.
Most Significant Data Compromised: The most significant data compromised in an incident was {most_significant_data_compromised}.
Most Significant System Affected: The most significant system affected in an incident was {most_significant_system_affected}.
Response to the Incidents
Third-Party Assistance in Most Recent Incident: The third-party assistance involved in the most recent incident was {third_party_assistance_in_most_recent_incident}.
Containment Measures in Most Recent Incident: The containment measures taken in the most recent incident were {containment_measures_in_most_recent_incident}.
Data Breach Information
Most Sensitive Data Compromised: The most sensitive data compromised in a breach was {most_sensitive_data_compromised}.
Number of Records Exposed: The number of records exposed in the most significant breach was {number_of_records_exposed}.
Ransomware Information
Highest Ransom Demanded: The highest ransom demanded in a ransomware incident was {highest_ransom_demanded}.
Highest Ransom Paid: The highest ransom paid in a ransomware incident was {highest_ransom_paid}.
Regulatory Compliance
Highest Fine Imposed: The highest fine imposed for a regulatory violation was {highest_fine_imposed}.
Most Significant Legal Action: The most significant legal action taken for a regulatory violation was {most_significant_legal_action}.
Lessons Learned and Recommendations
Most Significant Lesson Learned: The most significant lesson learned from past incidents was {most_significant_lesson_learned}.
Most Significant Recommendation Implemented: The most significant recommendation implemented to improve cybersecurity was {most_significant_recommendation_implemented}.
References
Most Recent Source: The most recent source of information about an incident is {most_recent_source}.
Most Recent URL for Additional Resources: The most recent URL for additional resources on cybersecurity best practices is {most_recent_url}.
Investigation Status
Current Status of Most Recent Investigation: The current status of the most recent investigation is {current_status_of_most_recent_investigation}.
Stakeholder and Customer Advisories
Most Recent Stakeholder Advisory: The most recent stakeholder advisory issued was {most_recent_stakeholder_advisory}.
Most Recent Customer Advisory: The most recent customer advisory issued was {most_recent_customer_advisory}.
Initial Access Broker
Most Recent Entry Point: The most recent entry point used by an initial access broker was {most_recent_entry_point}.
Most Recent Reconnaissance Period: The most recent reconnaissance period for an incident was {most_recent_reconnaissance_period}.
Post-Incident Analysis
Most Significant Root Cause: The most significant root cause identified in post-incident analysis was {most_significant_root_cause}.
Most Significant Corrective Action: The most significant corrective action taken based on post-incident analysis was {most_significant_corrective_action}.
What Do We Measure?
Every week, Rankiteo analyzes billions of signals to give organizations a sharper, faster view of emerging risks. With deeper, more actionable intelligence at their fingertips, security teams can outpace threat actors, respond instantly to Zero-Day attacks, and dramatically shrink their risk exposure window.
These are some of the factors we use to calculate the overall score:
Identify exposed access points, detect misconfigured SSL certificates, and uncover vulnerabilities across the network infrastructure.
Gain visibility into the software components used within an organization to detect vulnerabilities, manage risk, and ensure supply chain security.
Monitor and manage all IT assets and their configurations to ensure accurate, real-time visibility across the company's technology environment.
Leverage real-time insights on active threats, malware campaigns, and emerging vulnerabilities to proactively defend against evolving cyberattacks.
